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reliability in digital environments. This research will involve collaboration with industry, policymakers, and community organisations, providing unique opportunities to develop impactful, real-world solutions
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research
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Graphs/ AI methods to this domain. This position has a two-stage selection process: Stage 1: Please submit an EOI using the Faculty of Information Technology Research Project Enquiry form here
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conversion of biomass into high-value platform chemicals and bio-slurry fuels. The project builds on our patented and published bench-scale work, aiming to scale up the process to continuous operation using
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research in an area aligned with the internship Application process: To apply, please email the following documents to hdr_internships@adelaide.edu.au (HDR Internships Office) with the subject line
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external organisations. Applicants from a range of disciplines or fields will be considered, including electrical, electronics, computer systems or telecommunications engineering. If you're curious about
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models. TensorFlow or PyTorch is desirable. How to apply To apply, please ensure you have digital copies of the below information: • Curriculum vitae; encompassing any research presentations and/or
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Matlab, Python or similar. The position is located at Curtin University in Perth, WA Application process Please contact us via the EOI form with the following Curriculum vitae Academic transcripts A brief
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, addressing critical challenges in the transition to sustainable metallurgical processes. The successful candidate will develop a fundamental scientific framework to tackle key research questions in
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the development and application of digital, robotics and sensor-based technology to address key challenges in ageing, which are to enhance cognition, promote independence and foster social connectedness